SPDR Dow Jones Industrial Average ETF Boosts Holdings in Goldman Sachs and Caterpillar

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On Thursday, October 29, 2026, the SPDR Dow Jones Industrial Average ETF Trust (DIA) reported $130.6 million in net buying activity, increasing all 30 of its underlying holdings without selling a single share. The fund's total portfolio stands at $45.14 billion. The largest capital allocation went to Goldman Sachs Group Inc (GS), with the fund purchasing 14,835 shares worth $13.8 million, elevating its portfolio weight to 10.53%. Caterpillar Inc (CAT) followed closely, with the addition of 14,835 shares valued at $9.6 million, representing a 7.35% weight. Microsoft Corp (MSFT) also saw 14,835 shares added for $7.9 million, bringing its weight to 6.02%. Additional buying included Amgen Inc (AMGN) at $6.8 million and UnitedHealth Group Inc (UNH) at $6.1 million, both receiving 14,835 shares. The fund maintains a sector allocation led by Financial Services at 27.3%, Technology at 19.2%, and Healthcare at 14.7%.

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Spdr Dow Jones Industrial Avg ETF (DIA) recorded $130.6 million in net inflows on Thursday, adding to all 30 of its holding stocks with zero sells. Notably, Goldman Sachs ($13.8 million), Caterpillar ($9.6 million), and Microsoft ($7.9 million) were among the key purchases that increased portfolio weightings. This comprehensive net inflow of large passive funds is expected to improve supply-demand dynamics and strengthen short-term price support for these large-cap stocks.

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The fact that the DIA ETF added to all holdings in its $45.14 billion portfolio provides positive supply-demand pressure across large-cap value and blue-chip stocks, acting as a factor that enhances downside price rigidity, particularly for top-weighted stocks like Goldman Sachs and Caterpillar.

Going forward, the continued inflow of passive funds and the persistence of rotation centered on large-cap value stocks should be monitored. While the scenario of improved supply and demand for major constituent stocks remains valid in the short term, attention must also be paid to the possibility of increased volatility stemming from macroeconomic indicator fluctuations.

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